Predictive factors for shunt dependency in patients with spontaneous intraventricular hemorrhage

Abstract

Intraventricular hemorrhage (IVH) occurs in approximately 30–50% patients with spontaneous intracerebral hemorrhage (ICH), with a high 30-day mortality rate. Excess accumulation of parenchymal or ventricular blood associated with the development of acute hydrocephalus leads to poor outcomes. The prediction of shunt dependency is important to identify patients susceptible to requiring permanent shunt placement and benefit from the diversion. This retrospective analytical study aimed to establish a predictive model of shunt dependency in patients with IVH. This study included 179 patients with primary IVH with supratentorial origin or spontaneous ICH with extension into the ventricles between 2015 and 2021. Patients were grouped into “shunt required” and “shunt not required” groups. Variables, including age, sex, preexisting hypertension and diabetes, initial Glasgow Coma Scale scores, ICH location and volume, urokinase administration, modified Graeb score (mGraeb score), and bicaudate index, were analyzed. The shunt required group had significantly higher mGraeb scores (12.0 (6.5–15.0) vs. 7.0 (4.0–12.0), p = 0.001) and higher bicaudate index (0.20 (0.17–0.23) vs. 0.16 (0.13–0.18), P < 0.001) than the shunt not required group. The receiver operating characteristic curve (ROC curve) analysis revealed that a cut-off value of 0.16 of the bicaudate index was significantly related to shunt dependency. The subgroup statistical analysis revealed that neither urokinase administration (p = 0.533) nor urokinase dosage (p = 0.117) showed significant relevance in shunt dependency in patients who received external ventricular drainage. In logistic regression adjusted for the confounders, thalamic ICH (odds ratio (OR) 3.55; 95% confidence interval [(95%CI), 1.13–11.18], an mGraeb score greater than 8 (OR, 3.93; 95%CI, 1.84–8.38), and a bicaudate index greater than 0.16 (OR, 9.87; 95%CI, 3.79–25.73) were factors associated with a higher tendency for shunting. The findings of this study may help identify patients at risk for a permanent shunt after IVH.